Evidence map›Paper›PMID 19933761›Full record

ArticleNucleic acids research2010

EuroPhenome: a repository for high-throughput mouse phenotyping data.

Hugh Morgan, Tim Beck, Andrew Blake, Hilary Gates, Niels Adams, Guillaume Debouzy, Sophie Leblanc, Christoph Lengger, Holger Maier, David Melvin and 10 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

48 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Review
  7. INFRAFRONTIER: a European resource for studying the functional basis of human disease.Mammalian genome : official journal of the International Mammalian Genome Society · 2016
    Review
  8. Article
  9. Mouse genome database 2016.Nucleic acids research · 2016
    Article
  10. A mouse informatics platform for phenotypic and translational discovery.Mammalian genome : official journal of the International Mammalian Genome Society · 2015
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Ensembl 2014.Nucleic acids research · 2014
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Hugh MorganMRC Harwell, Mammalian Genetics Unit, MRC Harwell, Mary Lyon Centre, Harwell Science and Innovation Campus, Oxfordshire OX11 0RD, UK.
Tim Beck
Andrew Blake
Hilary Gates
Niels Adams
Guillaume Debouzy
Sophie Leblanc
Christoph Lengger
Holger Maier
David Melvin
Hamid Meziane
Dave Richardson
Sara Wells
Jacqui White
Joe Wood
EUMODIC Consortium
Martin Hrabé de Angelis
Steve D M Brown
John M Hancock
Ann-Marie Mallon

Funding

Medical Research Council MC_U127561112Medical Research Council MC_U142684171Medical Research Council MC_U142684172Medical Research Council MC_U142684175Medical Research Council MC_UP_1502/1
6 · The paper itself

Abstract

The broad aim of biomedical science in the postgenomic era is to link genomic and phenotype information to allow deeper understanding of the processes leading from genomic changes to altered phenotype and disease. The EuroPhenome project (http://www.EuroPhenome.org) is a comprehensive resource for raw and annotated high-throughput phenotyping data arising from projects such as EUMODIC. EUMODIC is gathering data from the EMPReSSslim pipeline (http://www.empress.har.mrc.ac.uk/) which is performed on inbred mouse strains and knock-out lines arising from the EUCOMM project. The EuroPhenome interface allows the user to access the data via the phenotype or genotype. It also allows the user to access the data in a variety of ways, including graphical display, statistical analysis and access to the raw data via web services. The raw phenotyping data captured in EuroPhenome is annotated by an annotation pipeline which automatically identifies statistically different mutants from the appropriate baseline and assigns ontology terms for that specific test. Mutant phenotypes can be quickly identified using two EuroPhenome tools: PhenoMap, a graphical representation of statistically relevant phenotypes, and mining for a mutant using ontology terms. To assist with data definition and cross-database comparisons, phenotype data is annotated using combinations of terms from biological ontologies.

Indexed as

Databases, GeneticDatabases, ProteinAnimalsComputational BiologyInformation Storage and RetrievalInternetMiceMice, Inbred C57BLMice, Inbred StrainsMice, KnockoutPhenotypeProgramming LanguagesProtein Structure, TertiarySoftware

Identifiers

PMID19933761
PMCPMC2808931

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.